Latest Intel-based Retail Technologies Blend Physical and Online Shopping Across Devices
- Intel showcases new intelligent retail concepts including a full-length digital “mirror,” gesture-based product customization and a solution to eliminate long lines in stores.
- Intel technology enables consumers to shop the looks from favorite television programs from their couch using a tablet or smartphone and play games to earn digital currency.
- Intel helps address the 59 percent of retailers who cite lack of consumer insights as their biggest data-related problem with Intel big data solutions.
NATIONAL RETAIL FEDERATION CONVENTION & EXPO, New York, Jan. 13, 2014 –The retail landscape is expected to change more in the next 10 years than it has in the past 50 years due largely to the explosion of the Internet of Things (IoT) and big data1. At the National Retail Federation (NRF) Annual Convention & Expo from Jan. 13-14 in New York, Intel Corporation is showcasing new technologies that are available in market today, helping retailers make better use of big data while providing more engaging and personalized experiences for consumers who make purchases at home or in-store.
“Intel has been actively working with leading retailers and the industry for several years to enable retailers to use the Internet of Things to deliver more entertaining brand experiences while also reducing operational costs,” said Joe Jensen, general manager of Intel’s Retail Solutions Division. “We are taking those efforts a step further by delivering more intelligent solutions and enabling retailers to make better use of big data to deliver a more personalized shopping experience.”
Delivering Engaging Experiences Anytime, Anywhere
Today’s shoppers want to enjoy an engaging and seamless buying experience, regardless of where they are or what device they are using. With Intel-based Shopping Anywhere, consumers can intuitively shop the looks from their favorite television programs right from their couch. By using the Intel® Retail Client Manager, along with technology from NCR* and ACTV8.ME* loaded on a tablet or smartphone, viewers can identify the clothing an actor or actress is wearing in an episode and receive special offers, play games to earn digital currency, or purchase the outfit instantly and have it delivered directly to their door.
If a consumer prefers to bring the ease of online shopping with them in-store, the Intel® Core™ i7-based MemoryMirror* full-length, digital “mirror,” allows store shoppers to virtually try on multiple outfits, and view and compare previous looks on the mirror or via smartphone or tablet. The MemoryMirror uses Intel integrated graphics technology to create avatars of the shopper wearing various clothing that can be shared with friends to solicit feedback or viewed instantly to make an immediate in-store purchase.
Technology can also deliver a more interactive experience in larger retail settings, such as the car dealership, by offering the benefits and ease of online exploring. The Intel-based Intuitive Product Customization uses the power of gesture recognition to seamlessly blend the online and in-dealership experience. With Intuitive Product Customization, consumers use hand gestures to browse and interact with digital product information, including various paint colors, interior options and add-on features to customize their car and visualize with their desired options before ordering their car.
Today’s tech-savvy consumers have the option to shop whenever and wherever they want, including on mobile devices. Intel is also showing a range of tablets for in-store retail settings that enable a more proficient and knowledgeable sales force, as well as a more efficient and readily available checkout process. By using Intel-based mobile solutions, retailers can improve a range of functions for sales staff, including mobile point of sale, client service, inventory research, concierge services and management dashboards.
Using Big Data for More Personalized Shopping, Reduced Checkout
It is estimated that consumers spend almost $300,000 per minute shopping online2 and 78 percent of consumers are more likely to purchase from a retailer who sends them offers relevant to their interests3. Additionally, 59 percent of retailers cite lack of consumer insights as their biggest data-related problem4. To help with this, Intel is working with retailers to help make better use of big data to deliver a more personalized experience across all channels of interaction with customers, while optimizing inventory management.
For example, to avoid shoppers arriving at a store to purchase a particular product only to find it’s sold out, retailers can better anticipate the right product mix for each store, determine optimal pricing and gain insight into the real-time status of inventory with Intel big data solutions. With the Intel Distribution of Apache Hadoop* software and analytics toolkit, retailers can mine patterns from data, build an enhanced emotional and behavioral 360-degree understanding of the customer, and reduce instances of lost opportunities. Lost sales from out-of-stock merchandise and deep discounts on overstocked products are estimated to cost retailers $818 billion annually5. By ensuring that each store has the exact products that its shoppers want and need, retailers can better ensure they always have the right product available at the right time.
Another way big data can help retailers deliver a more personalized shopping experience is through context-aware marketing. Intel Context Aware Marketing makes digital signage more effective by dynamically changing advertisements displayed on a sign based on the age and gender of the person viewing the sign. When a consumer walks by an Intel® Core-based digital sign, the Intel Advertising Framework technology can analyze information including weather trends, social media, and the shopper’s phone data to change the content and user interface to make it more relevant and personalized to the viewer. Intel Context Aware Marketing can also be tied to store inventory systems to display only advertisements for products currently available in-store.
Waiting in long, frustrating checkout lines could even become a thing of the past by effectively making use of big data. Intel-based Dynamic Staffing Optimization (DSO) can measure and analyze data including real-time traffic in and out of the store, queue length, the number of active and open registers, historical transaction data, and labor scheduling information to provide predictive recommendations to open or close registers based on expected customer traffic.
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1 “The History of Retail in 100 Objects,” The Store WPP, EMEA and Asia
5 HL, “Inventory Distortion ― Retail’s $800 Billion Global Problem,” May 2012